Building performance simulation can support parametric explorations of design option spaces. Resources available for modelling and computing often require the reduction of the descriptive information of a design solution at the level of design-space model rather than at that of building model. To obtain that reduction, two design-space models of different scope (for example, one full-scope and simplified, the other partial-scope and detailed) can be combined to make their responses usable as surrogates of those produced by a full-scope detailed inquiry. But aligning two building models of different scope can be difficult and sometimes impossible. This article presents a design-space ‘grafting’ technique supported by metamodelling that makes possible to hybridize two non-aligned design-space models so as to obtain a diffusely calibrated conjoint response. The strategy can be integrated into metamodelling and decomposition-based optimization to decrease the information costs entailed by parametric explorations.

建筑性能模拟可以支持对设计选项空间的参数化探索。可用于建模和计算的资源通常要求减少设计解决方案在设计空间模型级别而不是建筑模型级别的描述性信息。为了获得减少，可以将两个不同范围的设计空间模型（例如，一个全范围模型和简化模型，另一个局部范围模型和详细模型）组合起来，以使其响应可替代全范围模型产生的模型详细查询。但是，调整范围不同的两个建筑模型可能很困难，有时甚至是不可能的。本文介绍了一种由元建模支持的设计空间“嫁接”技术，该技术可以将两个不对齐的设计空间模型进行混合，从而获得扩散校准的联合响应。该策略可以集成到元建模和基于分解的优化中，以减少参数化探索带来的信息成本。